Patents by Inventor Alaa HALAWANI

Alaa HALAWANI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Differentiating between live and spoof fingers in fingerprint analysis by machine learning
    Patent number: 11580775
    Abstract: The present disclosure relates to a method performed in a fingerprint analysis system for facilitating differentiating between a live finger and a spoof finger. The method comprises acquiring a plurality of time-sequences of images, each of the time-sequences showing a respective finger as it engages a detection surface of a fingerprint sensor. Each of the time-sequences comprises at least a first image and a last image showing a fingerprint topography of the finger, wherein the respective fingers of some of the time-sequences are known to be live fingers and the respective fingers of some other of the time-sequences are known to be spoof fingers. The method also comprises training a machine learning algorithm on the plurality of time-sequences to produce a model of the machine learning algorithm for differentiating between a live finger and a spoof finger.
    Type: Grant
    Filed: October 5, 2018
    Date of Patent: February 14, 2023
    Assignee: FINGERPRINT CARDS ANACATUM IP AB
    Inventors: Kenneth Jonsson, Alaa Halawani
  • DIFFERENTIATING BETWEEN LIVE AND SPOOF FINGERS IN FINGERPRINT ANALYSIS BY MACHINE LEARNING
    Publication number: 20210209336
    Abstract: The present disclosure relates to a method performed in a fingerprint analysis system for facilitating differentiating between a live finger and a spoof finger. The method comprises acquiring a plurality of time-sequences of images, each of the time-sequences showing a respective finger as it engages a detection surface of a fingerprint sensor. Each of the time-sequences comprises at least a first image and a last image showing a fingerprint topography of the finger, wherein the respective fingers of some of the time-sequences are known to be live fingers and the respective fingers of some other of the time-sequences are known to be spoof fingers. The method also comprises training a machine learning algorithm on the plurality of time-sequences to produce a model of the machine learning algorithm for differentiating between a live finger and a spoof finger.
    Type: Application
    Filed: October 5, 2018
    Publication date: July 8, 2021
    Applicant: Fingerprint Cards AB
    Inventors: Kenneth JONSSON, Alaa HALAWANI